KO2 Embedded Recruitment Solutions Ltd provided pay range
This range is provided by KO2 Embedded Recruitment Solutions Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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Connecting the best talent within Embedded Systems and Electronics Engineering
Job Title: Data Engineer
Location: Nelson, Lancashire + Flexible Hybrid WFH 4 days a week
Salary: Up to £60,000 + Strong Benefits Package
We’re looking for a Data Engineer to join our clients growing Data Science team and help them shape the future of their internal and external data infrastructure.
What You’ll Do
* Design, build, and maintain scalable cloud based ETL pipelines to ingest and transform data from various sources
* Work with large datasets to ensure data integrity, quality, and availability across platforms
* Optimize and manage data workflows in AWS (S3, Redshift, Glue, Lambda, etc.)
* Write clean, efficient SQL for complex data transformations and analytics
* Develop and maintain Python scripts and tools for data processing and automation
* Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver actionable insights
What Their Looking For
* Strong experience with AWS cloud services related to data (e.g., S3, Glue, Redshift, Lambda)
* Proven expertise in ETL/ELT pipeline design and implementation
* Excellent proficiency in SQL – ability to write complex queries and optimize performance
* Solid programming skills in Python with experience in data wrangling and scripting
* Familiarity with data modeling, warehouse design, and version control (e.g., Git)
* Strong problem-solving skills and a collaborative mindset
* Experience with orchestration tools like Airflow or AWS Step Functions
* Familiarity with data lake and data mesh architectures
* Exposure to containerization (Docker) and CI/CD practices
Contact:
To find out more or to apply, please reach out to Laurence Powell or Andrew Knight at KO2 Embedded Recruitment Solutions Ltd.
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology and Engineering
* Industries
Information Services and Data Infrastructure and Analytics
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